A longitudinal study of p300 brain-computer interface and progression of amyotrophic lateral sclerosis

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Abstract

BCI can provide communication for people locked in by amyotrophic lateral sclerosis (ALS). Empirical examination of how disease progression affects brain-computer interface (BCI) performance has not been investigated. This pilot study uses a longitudinal design to investigate changes in P300-BCI use as ALS disability increases. We aimed to (a) examine the relationship between BCI accuracy and the ALS/Functional Rating Scale and (b) examine changes in the event-related potential (ERP) components across time. Eight subjects have been enrolled in the study. BCI accuracy was measured and ERP components were assessed by a principal component analysis (PCA). Two subjects have been followed for an average of nine-months, and BCI accuracy is 99.6%. While many research obstacles remain, these preliminary data help elucidate the relationship between BCI performance and disease progression. © 2011 Springer-Verlag.

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Gates, N. A., Hauser, C. K., & Sellers, E. W. (2011). A longitudinal study of p300 brain-computer interface and progression of amyotrophic lateral sclerosis. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6780 LNAI, pp. 475–483). https://doi.org/10.1007/978-3-642-21852-1_54

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